One of our partners, a global player on the energy solutions & services market, is looking for passionate Data Engineers for their digital & advanced analytics projects.


  • Participate in design and development of analytical applications from an early product vision to the implementation on a scalable production system
  • Closely work together with data scientists and business owners to find best options for machine learning solutions in a mixed scenario of batch, real-time, structured and unstructured data. Evaluate implementation options and identify the most appropriate solution for a given analytical use case
  • Design and implement scalable big data structures on Hadoop with Spark, as well as on classical RDBMS
  • Implement data ingestion and –cleaning workflows, analyze and optimize data structures and pre-process raw data, in particular real-time streaming data using
  • Integration of large structured and unstructured data from different data sources, platforms, historical data or real-time streams


  • Degree in Computer Science, or related technical discipline
  • Experience in data engineering, with RDBMS, SQL/ NoSQL, Hadoop and Spark are considered a plus
  • Experience with public cloud services, preferably Azure
  • First experience in programming real-time stream processing
  • Experience in integrating Big Data machine learning solutions with Python, R, Java
  • Coding batch jobs and querying data in Java, Scala, SQL, Python, Pig
  • Experience with various ETL techniques and frameworks such as Flume or Talend
  • Fluent in English

Let’s talk more about this role and related projects or others suited for you: give us an email at